Building the Data Warehouse / Edition 4

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Overview

Since it was first published in 1990, W. H. Inmon's Building the Data Warehouse has become the bible of data warehousing -- the first and best introduction to the subject. A lot has changed in data warehousing technology since the last edition appeared in 1996, and this latest volume is completely revised to reflect exciting new techniques and applications, update existing topics, and examine data marts, operational data stores, and the corporate information factory. In this Third Edition, Inmon explains what a data warehouse is (and isn't), why it's needed, how it works, and how the traditional data warehouse can be integrated with new technologies, including the Web, to provide enhanced customer service and support. He also addresses the trade-offs between normalized data warehouses and dimensional data marts.
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Editorial Reviews

From The Critics
Revised to reflect new techniques and applications since the 1996 edition, this third edition explains what a data warehouse is and how it works, and tells how the traditional data warehouse can be integrated with new technologies including the Web. Discussion encompasses techniques for customer sales and support on-and offline, data warehousing for decision support, integration of data warehouses with ERP systems, and tradeoffs between normalized data warehouses and dimensional data marts. Inmon has written many books on database management and data warehousing. Annotation c. Book News, Inc., Portland, OR
Booknews
A guide for database developers, designers, and managers to creating a database tailored for analytic and informational uses, different and separate from a database with the same information to be used in ordinary operations. Deals more with concepts, overall approaches, and issues rather than technical aspects. Among the topics are decision support systems that utilize data warehouses, environment and design, granularity, distributed data, executive information systems, external and unstructured data, and migration to the environment. No mention is made of the first edition or why a second was issued. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780764599446
  • Publisher: Wiley
  • Publication date: 10/31/2005
  • Edition description: REV
  • Edition number: 4
  • Pages: 576
  • Sales rank: 1,332,642
  • Product dimensions: 7.30 (w) x 9.20 (h) x 1.20 (d)

Table of Contents

Preface
1 Evolution of Decision Support Systems 1
2 The Data Warehouse Environment 33
3 The Data Warehouse and Design 73
4 Granularity in the Data Warehouse 145
5 The Data Warehouse and Technology 161
6 The Distributed Data Warehouse 197
7 Executive Information Systems and the Data Warehouse 243
8 External/Unstructured Data and the Data Warehouse 261
9 Migration to the Architected Environment 275
10 A Data Warehouse Design Review Checklist 293
Appendix 317
Glossary 367
References 381
Index 393
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Customer Reviews

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Sort by: Showing 1 Customer Reviews
  • Anonymous

    Posted November 13, 2006

    An Exclusive book for Datawarehouse Professionals:

    Inmon has covered the great details about the fundamentals of Datawarehousing in very easily understandable nature. I'm new to Data Warehousing and I haven't found any simple title on Datawarehousing that tried to explain and cover all topics to beginners. Inmon has done a great job in explaining complete evolution of DSS systems and about the Data warehouse environment and designing. I especially liked his style in chapter 6 which is Distributed Data Warehouse. He tried to touch all the important concepts with real world examples. Chapter 9 Migration to the Architected environment is one of the finest chapters that dig in to more technical details. Chapter 10 has clear content that shares enough knowledge to understand the connection between web and publishing data warehousing. chapter 16 has exclusive subject on ODS systems and it explained in a well fashion about the End user community. Overall, I recommend this book to all new bees and who wanted to grow as a good Professionals in Data warehousing.

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